Great course! Enjoying the process of learning this course, and the assignments were great to strengthen the points of knowledges.

This was my first course on Coursera, but I really appreciated how it’s done. Recommended to everyone interested in Deep Learning!

A great course, based on and therefore very similar to the Stanford one, though the devs are in Python (vs. Octave for the former)

Well explained with step by step and in depth instructions. Very visual way of teaching complicated ML techniques. Very effective.

I have enjoyed this course and would like to give 5 stars. This course is starting with deep learning fundamentals and what it is.

Muy buen curso. Me han gustado las presentaciones y los vídeos. Los cuadernos de Jupyter son excelentes par aprender a programar.

everything is very well explained and gave me a really good practical and deeper understanding of how a neural network can learn

I got an opportunity to learn what the Buzzing word "Deep Learning" really meant. Really happy to be able to finish this course.

I won't say much its Andrew Ng go for it. My parents can be wrong about life but Andrew Ng can't be wrong about Machine Learning.

Thank you truly for the best neural network course. Your considerate explanation gave me clear images on the complicated concept.

Excellent start for knowing Neural Networks and Deep Learning. Simple examples to understand the core concepts is so encouraging.

Prof. NG is as amazing as he is with the delivery of the concepts.

These are really very important and fundamental building blocks

This course helps to develop all basics concepts for NN Architectures, training, and vectorization, etc. thanks, Prof. Andrew Ng!

Muy buen curso, explicado y cuidado muy bien de principio a fin y profundiza lo suficiente para entender en su totalidad el tema.

This course is the best for an introduction to deep learning even if you have a brief background about calculus, programming etc.

Amazing teaching and wide variety of examples to make a student understand different conditions in the neural network environment

It was the best course it helps learn from basic, I am going to continue this spelization course.

thanks and regards

c.shivashankar

I suggest to watch the interviews at the end of week 1, 2, 3 modules. They contain some really motivational and insightful stuff.

Very good course content and methodology easy to understand which lays a solid foundation about deep learning and Neural Network.

The exercises are too easy. It would have been great to have less skeletal code so that we work a little bit more on the exercise

Job well done establishing terminology and conventions early on to allow students to focus on the concepts, not the nomenclature.

thank you for this great opportunity to learn more about deep learning and neural networks and for you my dear professor ANDREWNG

It's a good course for beginners who wants to learn neural networks. Assignments are really helpful to gain some good knowledge.

This is an excellent course to get the basic understanding of deep learning, along with great python Jupyter notebook experience.

All the topics are explained very thoroughly and Prof. Andrew covers the mathematical operations involved as well which is great!